Differential evolution using jumping genes adaptation

Ashish M. Gujarathi*, Saumitra Purohit, Rohan Manchanda, Debabrata Ghosh

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

1 اقتباس (Scopus)

ملخص

Jumping gene adaptation of differential evolution algorithm (DE-JGa) is proposed in this study. Detailed working principle of proposed algorithm is given. The performance of the proposed algorithm (DE-JGa) is compared with the performance of existing algorithms (differential evolution (DE) and modified differential evolution (MDE)] by applying these algorithms to some selected benchmark test problems. Thorough algorithm specific study is carried out to check the robustness of individual algorithms with respect to its control parameters, such as crossover constant (CR), number of population points (NP), scaling factor (F) and the number of generations.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011
الصفحات353-370
عدد الصفحات18
حالة النشرPublished - 2011
منشور خارجيًانعم
الحدث5th Indian International Conference on Artificial Intelligence, IICAI 2011 - Tumkur, India
المدة: ديسمبر ١٤ ٢٠١١ديسمبر ١٦ ٢٠١١

سلسلة المنشورات

الاسمProceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011

Other

Other5th Indian International Conference on Artificial Intelligence, IICAI 2011
الدولة/الإقليمIndia
المدينةTumkur
المدة١٢/١٤/١١١٢/١٦/١١

ASJC Scopus subject areas

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